OpenVINO vs numericaal: What are the differences?

OpenVINO: A free toolkit facilitating the optimization of a Deep Learning model. It is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel® hardware, maximizing performance; numericaal: Machine learning for mobile & IoT made easy. numericaal automates model optimization and management so you can focus on data and training.

OpenVINO and numericaal can be categorized as "Machine Learning" tools.

Some of the features offered by OpenVINO are:

• Optimize and deploy deep learning solutions across multiple Intel® platforms
• Accelerate and optimize low-level, image-processing capabilities using the OpenCV library
• Maximize the performance of your application for any type of processor

On the other hand, numericaal provides the following key features:

• MODEL RESOURCE OPTIMIZATION - We automatically run multiple toolchains to give you the best speed, power and memory tradeoff on every model change.
• CROSS-PLATFORM MODEL ANALYTICS - We measure on-device speed and power usage to help you evaluate and compare models across hardware platforms.
• BOTTLENECK IDENTIFICATION - We help you pinpoint performance bottlenecks and focus your model optimization on layers that matter the most.